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Vinkius

Duda MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Duda through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "duda": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Duda, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Duda
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Duda MCP Server

Integrate Duda, the professional website builder for agencies and SaaS, directly into your AI workflow. Manage your fleet of websites and their publishing statuses, track available site templates, monitor client accounts and permissions, and oversee dynamic data collections using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Duda through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Website Oversight — List and retrieve detailed configuration and real-time status for all your Duda websites and domains.
  • Template Intelligence — Access the Duda template library to monitor available designs and structural organizational identifiers.
  • Client Management — Track client account profiles, email addresses, and individual permissions across your organization.
  • Collection Monitoring — List dynamic data collections associated with specific sites to ensure efficient content management.

The Duda MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Duda to LangChain via MCP

Follow these steps to integrate the Duda MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Duda via MCP

Why Use LangChain with the Duda MCP Server

LangChain provides unique advantages when paired with Duda through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Duda MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Duda queries for multi-turn workflows

Duda + LangChain Use Cases

Practical scenarios where LangChain combined with the Duda MCP Server delivers measurable value.

01

RAG with live data: combine Duda tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Duda, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Duda tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Duda tool call, measure latency, and optimize your agent's performance

Duda MCP Tools for LangChain (10)

These 10 tools become available when you connect Duda to LangChain via MCP:

01

get_client_account_profile

Get full profile and permission data for a specific client account

02

get_site_details

Get detailed settings and information for a specific Duda site

03

get_template_details

Get detailed information for a specific Duda template

04

list_client_accounts

List all client accounts registered in your Duda organization

05

list_duda_sites

List all websites configured in your Duda account

06

list_published_websites

Identify sites that are currently in a "Published" status

07

list_site_collections

List all dynamic data collections associated with a specific site

08

list_site_templates

List all available Duda website templates

09

quick_site_health_audit

Retrieve a high-level summary of site activity and publishing rates

10

search_sites_by_domain

Search for a Duda site using a domain or name keyword

Example Prompts for Duda in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Duda immediately.

01

"List all my published Duda sites."

02

"Show me the details for site 'site_12345'."

03

"Which client accounts have permission to 'Manage Blog'?"

Troubleshooting Duda MCP Server with LangChain

Common issues when connecting Duda to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Duda + LangChain FAQ

Common questions about integrating Duda MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Duda to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.